Evolutionary Computation in Practice
Editors: Yu, T., Davis, L., Baydar, C., Roy, R. (Eds.)
Free Preview- Contains everything about evolutionary computation in practice
- Loaded with examples
- Some of the authors have already won "Humies" - Human Competitive Results Awards - for the work described in this book
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- About this book
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This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions. Some of the authors have already won "Humies"—Human Competitive Results Awards—for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems.
--Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery
- Reviews
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From the reviews:
"‘Evolutionary Computation in Practice’ … focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. … is well-written, easy to read and provides a comprehensive coverage of the field. … This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series." (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)
- Table of contents (15 chapters)
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An Introduction to Evolutionary Computation in Practice
Pages 1-8
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Design for Product Embedded Disassembly
Pages 9-39
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Multi-Level Decomposition for Tractability in Structural Design Optimization
Pages 41-62
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Representing the Change - Free Form Deformation for Evolutionary Design Optimization
Pages 63-86
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Evolving Microstructured Optical Fibres
Pages 87-124
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Table of contents (15 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Evolutionary Computation in Practice
- Editors
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- Tina Yu
- Lawrence Davis
- Cem Baydar
- Rajkumar Roy
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 88
- Copyright
- 2008
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-75771-9
- DOI
- 10.1007/978-3-540-75771-9
- Hardcover ISBN
- 978-3-540-75770-2
- Softcover ISBN
- 978-3-642-09492-7
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XIV, 322
- Topics
